Data operations manager állás, munka

Application Development & Architecture: Design, implement, and maintain modern web and mobile applications using frameworks like Angular, .NET, and MAUI. Build cloud-native solutions that are scalable, maintainable, and aligned with microservices, event-driven architectures, and API-first...

• You will keep our Linux and Windows servers and clients up and running and ensure that our network remains stable and secure
• You will assist in setting up a secure IT infrastructure, support certifications such as ISO/ TISAX and train our employees in IT security

Design, develop, and maintain components of the deployment stack and software kernels for AI compute platforms Optimize and implement core ML operators (e.g., GEMMs, convolutions, BLAS routines, SIMD kernels) Translate computational graphs from ML frameworks onto the underlying hardware Contribute...

Develop and implement LLM based agentic solutions for processing large document sets. Design and develop machine learning models and algorithms for various applications. Test and evaluate the performance of these models and the solutions. Develop and support semantic search, structured retrieval,...

Innovating with Line of Businesses (LoBs)​, advising on and solving their research challenges, as well as developing together prototypes and new features...

• An opportunity to build the foundation for next-generation products
• The possibility to learn and implement cutting edge 3D computer vision methods
• Mentorship by experienced PhD-level experts
• The option to write a master thesis following an internship or working student position

• Implementation and maintenance of applications
• Build user-friendly Web Forms for healthcare and administrative processes.
• Third-party application integration, complex SQL requests development (Sybase ASE).
• Optimize the global stability and performance of the system.

Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models) Implement various machine learning solutions addressing computer vision and NLP use cases Work with Large Language Models (LLMs), perform prompt engineering tasks Design and implement data transformation...

Lead a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud. Provide mentoring and technical support to junior and medium teammates. Act as a trusted advisor to clients. Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI...

• Development of a GUI to display data preprocessed with an existing library (toolbox-SXP)
• Adapt algorithms and analysis procedures to the GUI
• Collaborate in implementing visualisation tools based on EuXFEL data analysis tools

• As an experienced software developer you create smart and efficient software solutions for network communication (LAN, WLAN, WAN).
• You develop concepts and contribute to specify the software architecture with a focus on network performance and Software-Defined-Networking (SDN).

Conception, development and deployment of workflows for the import of metadata from service like the catalogue of the German National Library, the Gemeinsame Normdatei (GND) or Wikidata into a VIVO based knowledge graph....

Drive designing and building AWS infrastructure and landing zones Define AWS infrastructure using Terraform or OpenTofu with Terragrunt, or AWS CloudFormation, and build CI/CD pipelines Lead migrations of customer workloads from on-premises (on-prem), GCP, Azure, or Heroku to AWS Review and...

• Your primary focus is on implementing HMI-related services, with the user interface to be developed using QML
• Your role involve working on both the functionality and visual aspects of the interface, ensuring a seamless and intuitive user experience

• Develop and architect FPGA designs with a focus on implementing signal processing algorithms and high-speed systems
• Analyze system requirements and derive FPGA architectures, including the definition of interfaces and modules

• Collaborate on developing and implementation of post-hoc explainable AI models for computer vision models
• Exploring and benchmarking of XAI algorithms for vision language models
• Investigate potential of large language models for concept based XAI